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Landslide inventory and susceptibility assessment using multiple statistical approaches along the Karakoram highway,northern Pakistan

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Journal of Mountain Science 2021年第3期18卷 583-598页

作者： Mian Luqman HUSSAIN Muhammad SHAFIQUE Alam Sher BACHA CHEN Xiao-qing CHEN Hua-yong National Centre of Excellence in Geology University of PeshawarPeshawar 25130Pakistan Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu 610041China

China-Pakistan Economic Corridor(CPEC)is a framework of regional connectivity,which will not only benefit China and Pakistan but will have positive impact on Iran,Afghanistan,India,Central Asian Republic,and the *** surrounding area in CPEC is prone to frequent disruption by geological hazards mainly landslides in northern *** landslide inventory and susceptibility assessment are rarely available to utilize for landslide mitigation *** study aims to utilize the high-resolution satellite images to develop a comprehensive landslide inventory and subsequently develop landslide susceptibility maps using multiple *** very high-resolution(VHR)satellite images are utilized to develop a landslide inventory using the visual image classification techniques,historic records and field observations.A total of 1632 landslides are mapped in the *** statistical models i.e.,frequency ratio,artificial neural network,weights of evidence and logistic regression were used for landslide susceptibility modeling by comparing the landslide inventory with the topographic parameters,geological features,drainage and road *** developed landslides susceptibility maps were verified using the area under curve(AUC)*** prediction power of the model was assessed by the prediction rate *** success rate curves show 93%,92.8%,92.7%and 87.4%accuracy of susceptibility maps for frequency ratio,artificial neural network,weights of evidence and logistic regression,*** developed landslide inventory and susceptibility maps can be used for land use planning and landslide mitigation strategies.

关键词： Landslides inventory map Susceptibility assessment Northern Pakistan CPEC

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Landslide inventory and susceptibility modelling using geospatial tools,in Hunza-Nagar valley,northern Pakistan

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Journal of Mountain Science 2018年第6期15卷 1354-1370页

作者： Alam Sher BACHA Muhammad SHAFIQUE Harald van der WERFF National Centre of Excellanee in Geology University ofPeshawar Peshawar-25130 Pakistan Faculty of Geo-Information Science and Earth Observation （ITC） University of Twente Ensehede 7500 AE The Netherlands

A comprehensive landslide inventory and susceptibility maps are prerequisite for developing and implementing landslide mitigation strategies. Landslide susceptibility maps for the landslides prone regions in northern Pakistan are rarely available. The Hunza-Nagar valley in northern Pakistan is known for its frequent and devastating landslides. In this paper, we have developed a landslide inventory map for Hunza-Nagar valley by using the visual interpretation of the SPOT-5 satellite imagery and mapped a total of 172 landslides. The landslide inventory was subsequently divided into modelling and validation data sets. For the development of landslide susceptibility map seven discrete landslide causative factors were correlated with the landslide inventory map using weight of evidence and frequency ratio statistical models. Four different models of conditional independence were used for the selection of landslide causative factors. The produced landslides susceptibility maps were validated by the success rate and area under curves criteria. The prediction power of the models was also validated with the prediction rate curve. The validation results shows that the success rate curves of the weight of evidence and the frequency models are 82% and 79%, respectively. The prediction accuracy results obtained from this study are 84% for weight of evidence model and 80% for the frequency ratio model. Finally, the landslide susceptibility index maps were classified into five different varying susceptibility zones. The validation and prediction result indicates that the weight of evidence and frequency ratio model are reliable to produce an accurate landslide susceptibility map, which may be helpful for landslides management strategies.

关键词： Landslides inventory map Susceptibility assessment Northern Pakistan

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